ggoh29 / Simplicial-neural-network-benchmarkLinks
Simplicial neural network benchmarking software
☆17Updated 3 years ago
Alternatives and similar repositories for Simplicial-neural-network-benchmark
Users that are interested in Simplicial-neural-network-benchmark are comparing it to the libraries listed below
Sorting:
- Code for the KDD 2021 paper 'Filtration Curves for Graph Representation'☆18Updated 2 years ago
- Official repository for On Over-Squashing in Message Passing Neural Networks (ICML 2023)☆15Updated 2 years ago
- Official Code Repository for the paper "Graph Ordering Attention Networks"☆22Updated last year
- This repository holds code and other relevant files for the Learning on Graphs 2022 tutorial "Graph Rewiring: From Theory to Applications…☆54Updated 2 years ago
- Uncertainty Quantification over Graph with Conformalized Graph Neural Networks (NeurIPS 2023)☆83Updated 2 years ago
- Graph Positional and Structural Encoder☆53Updated 9 months ago
- [ICLR'25 Spotlight] Revisiting Random Walks for Learning on Graphs (RWNN), in PyTorch☆16Updated 7 months ago
- DiffWire: Inductive Graph Rewiring via the Lovász Bound. In Proceedings of the First Learning on Graphs Conference. 2022. Adrian Arnaiz-R…☆19Updated 2 years ago
- Graph transport network (GTN), as proposed in "Scalable Optimal Transport in High Dimensions for Graph Distances, Embedding Alignment, an…☆15Updated 2 years ago
- Topological Graph Neural Networks (ICLR 2022)☆124Updated 3 years ago
- Official repository for Cell Attention Networks☆14Updated last year
- Gradient gating (ICLR 2023)☆55Updated 2 years ago
- Scattering GCN: overcoming oversmoothness in graph convolutional networks☆25Updated 3 years ago
- The implementation code for our paper Wasserstein Embedding for Graph Learning (ICLR 2021).☆35Updated 4 years ago
- ☆80Updated 2 years ago
- [NeurIPS'21] Higher-order Transformers for sets, graphs, and hypergraphs, in PyTorch☆67Updated 2 years ago
- Official Code Repository for the paper "Edge Representation Learning with Hypergraphs" (NeurIPS 2021)☆53Updated 2 years ago
- ☆31Updated last year
- ☆26Updated last year
- GraphFramEx: a systematic evaluation framework for explainability methods on GNNs☆46Updated last year
- Code of "Analyzing the Expressive Power of Graph Neural Networks in a Spectral Perspective" paper published in ICLR2021☆46Updated 4 years ago
- ☆18Updated last year
- Source code for ICDM 2022 paper "Set2Box: Similarity Preserving Representation Learning for Sets."☆14Updated 2 years ago
- Graph Transformers for Large Graphs☆22Updated last year
- Code for our paper "Attending to Graph Transformers"☆91Updated last year
- Official repository for the ICLR 2022 paper "Evaluation Metrics for Graph Generative Models: Problems, Pitfalls, and Practical Solutions"…☆14Updated 3 years ago
- Official Repository for Simplicial Attention Networks☆32Updated 2 years ago
- Long Range Graph Benchmark, NeurIPS 2022 Track on D&B☆160Updated last year
- Code and dataset to test empirically the expressive power of graph pooling operators presented as presented at NeurIPS 2023☆36Updated last year
- Simplicial neural networks (SNNs), a generalization of graph neural networks to data that live on a class of topological spaces called si…☆80Updated 4 years ago